Histograms & Scatter Plots

A histogram is a type of bar graph that represents the frequency distribution of numerical data. It shows how many data points fall within specified ranges (bins).

A scatter plot is a graph that displays values for typically two variables for a set of data. Each point represents an observation, showing the relationship between the two variables.

Positive correlation means that as one variable increases, the other variable also tends to increase.

Negative correlation means that as one variable increases, the other variable tends to decrease.

No correlation means there is no predictable relationship between the two variables; changes in one do not affect the other.

You look for the tallest bar in the histogram, which represents the interval with the highest number of data points.

The purpose of a scatter plot is to visually display the relationship between two quantitative variables and to identify any patterns or correlations.

If a scatter plot has no association, it means the points are scattered randomly, showing no predictable pattern.

You can interpret a scatter plot by looking for trends, clusters, or outliers in the data points to understand the relationship between the variables.

The x-axis is the horizontal axis that typically represents the independent variable.